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--- |
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license: cc-by-nc-2.0 |
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language: |
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- en |
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base_model: |
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- dunzhang/stella_en_1.5B_v5 |
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library_name: sentence-transformers |
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pipeline_tag: feature-extraction |
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tags: |
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- sentence-transformers |
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- sentence-similarity |
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- medical |
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- clinicaltrials |
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- cancer |
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- feature-extraction |
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- generated_from_trainer |
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- dataset_size:1395384 |
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- loss:OnlineContrastiveLoss |
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- loss:MultipleNegativesRankingLoss |
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--- |
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# SentenceTransformer |
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This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. |
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## Model Details |
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### Model Description |
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- **Model Type:** Sentence Transformer |
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<!-- - **Base model:** [dunzhang/stella_en_1.5B_v5](https://huggingface.co/dunzhang/stella_en_1.5B_v5) --> |
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- **Maximum Sequence Length:** 512 tokens |
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- **Output Dimensionality:** 1024 tokens |
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- **Similarity Function:** Cosine Similarity |
